Create DataFrame from Original Index with New Index in Python Pandas

To create a DataFrame from original index but enforce a new index, use the index.to_frame(). Set the parameter index to False.

At first, import the required libraries −

import pandas as pd

Creating Pandas index −

index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'],name ='Products')

Display the Pandas index

print("Pandas Index...\n",index)

Enforce new index and convert index to DataFrame. Here, the actual index gets replaced by another index −

print("\nIndex to DataFrame...\n",index.to_frame(index=False))

Example

Following is the code −

import pandas as pd

# Creating Pandas index
index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'],name ='Products')

# Display the Pandas index
print("Pandas Index...\n",index)

# Return the number of elements in the Index
print("\nNumber of elements in the index...\n",index.size)

# Return the dtype of the data
print("\nThe dtype object...\n",index.dtype)

# Enforce new index and convert index to DataFrame
# Here, the actual index gets replaced by another index
print("\nIndex to DataFrame...\n",index.to_frame(index=False))

Output

This will produce the following output −

Pandas Index...
Index(['Electronics', 'Accessories', 'Decor', 'Books', 'Toys'], dtype='object', name='Products')

Number of elements in the index...
5

The dtype object...
object

Index to DataFrame...
      Products
0  Electronics
1  Accessories
2        Decor
3        Books
4         Toys